Lie Detector At the Gait: Artificial Intelligence Model

The goal of this clinical trial is to obtain more consistent results with the use of repetitive neural networks in gait models and classification approaches in individuals applying forensic sciences. It was aimed to develop a decision support system for determining the walking imitations of individuals with explainable machine learning approaches on disability compensation in the field of Forensic Medicine. Participants will be assessed regarding kinematic and temporospatial gait parameters, pain severity, and fatigue level. Comparison group: Researchers will compare the patients applying to the forensic medicine department to those applying to the orthopedic department, and their healthy counterparts.